Algorithms
in sentence
404 examples of Algorithms in a sentence
We've been operating with this radical transparency and then collecting these principles, largely from making mistakes, and then embedding those principles into
algorithms.
And it does that guided by
algorithms.
This process allows us to make decisions not based on democracy, not based on autocracy, but based on
algorithms
that take people's believability into consideration.
Now imagine that you can have
algorithms
that will help you gather all of that information and even help you make decisions in an idea-meritocratic way.
And I'm afraid to say that with algorithms, with logarithms, with whatever the "-ithms" are that direct us into all these particular channels of information, that seems to be happening right now.
Instead of doing this in software, or doing those kinds of algorithms, we went and talked to neurobiologists who have actually reverse engineered that piece of brain that's called the retina.
You've probably seen that
algorithms
have gotten pretty good at matching people to things, but what if we could use that same technology to actually help us find jobs that we're really well-suited for?
The work world today is not the most diverse and if we're building
algorithms
based on current top performers, how do we make sure that we're not just perpetuating the biases that already exist?
We can create
algorithms
that are more equitable and more fair than human beings have ever been.
Our best technology and
algorithms
shouldn't just be used for helping us find our next movie binge or new favorite Justin Bieber song.
And the
algorithms
that we developed to do insects turned out to be the solution for airbags to do their simulation.
And traffic management
algorithms
group riders by destination to get passengers and empty cabins where they need to be.
But technology also creates completely new challenges when they ask us not to trust in other people but to trust in
algorithms
and computers.
What if they knew that compliance with the rules was built into the
algorithms
by design, that the algorithm had to go to competition rules school before they were ever allowed to work, that those
algorithms
were designed in a way that meant that they couldn't collude, that they couldn't form their own little cartel in the black box they're working in?
So, I think in the next 20 years, if we can get rid of all of the traditional approaches to artificial intelligence, like neural nets and genetic
algorithms
and rule-based systems, and just turn our sights a little bit higher to say, can we make a system that can use all those things for the right kind of problem?
Genetic
algorithms
are great for certain things; I suspect I know what they're bad at, and I won't tell you.
And by this, I don't mean human-level AI, or science fiction artificial intelligence; I simply mean that machines and
algorithms
are making decisions.
The problem is, we no longer really understand how these complex
algorithms
work.
And these things only work if there's an enormous amount of data, so they also encourage deep surveillance on all of us so that the machine learning
algorithms
can work.
The
algorithms
work better.
It's what
algorithms
do.
They can also mobilize
algorithms
to find for you look-alike audiences, people who do not have such explicit anti-Semitic content on their profile but who the algorithm detects may be susceptible to such messages, and lets you target them with ads, too.
These
algorithms
can do that quite easily.
These
algorithms
can quite easily infer things like your people's ethnicity, religious and political views, personality traits, intelligence, happiness, use of addictive substances, parental separation, age and genders, just from Facebook likes.
These
algorithms
can identify protesters even if their faces are partially concealed.
These
algorithms
may be able to detect people's sexual orientation just from their dating profile pictures.
But if the people in power are using these
algorithms
to quietly watch us, to judge us and to nudge us, to predict and identify the troublemakers and the rebels, to deploy persuasion architectures at scale and to manipulate individuals one by one using their personal, individual weaknesses and vulnerabilities, and if they're doing it at scale through our private screens so that we don't even know what our fellow citizens and neighbors are seeing, that authoritarianism will envelop us like a spider's web and we may not even know we're in it.
The
algorithms
do not know the difference.
The same
algorithms
set loose upon us to make us more pliable for ads are also organizing our political, personal and social information flows, and that's what's got to change.
We have to face and try to deal with the lack of transparency created by the proprietary algorithms, the structural challenge of machine learning's opacity, all this indiscriminate data that's being collected about us.
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